WOFS_3577_0_-14_2019_summary.nc

dataset of product wofs_annual_summary
Indexed by dra547 , created
Archived
for 1st January 2019

Fields 🔗

creation_time 2020-06-03 05:12:24 🔍 format NetCDF id 3256c6e2-37f1-47e9-b634-2cb158f1b277 🔍 instrument TM,ETM,OLI label • 🔍 lat -13.248 to -12.326 🔍 lon 132.0 to 132.909 🔍 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_annual_summary time 2019-01-01 00:00:00 to 2019-01-01 00:00:00 🔍

Related Datasets 🔗

LS_WATER_3577_0_-14_20190507010740000000_v1559178892.nc
LS_WATER_3577_0_-14_20190616011650000000_v1561031451.nc
LS_WATER_3577_0_-14_20190225010421500000_v1552542262.nc
LS_WATER_3577_0_-14_20190827010343500000_v1568610626.nc
LS_WATER_3577_0_-14_20191022011700000000_v1573709072.nc
LS_WATER_3577_0_-14_20190718011657500000_v1565000316.nc
LS_WATER_3577_0_-14_20190305011029000000_v1554178942.nc
LS_WATER_3577_0_-14_20191209011655000000_v1576774931.nc
LS_WATER_3577_0_-14_20190304010955000000_v1552542262.nc
LS_WATER_3577_0_-14_20190124010519500000_v1550128361.nc
LS_WATER_3577_0_-14_20191115005950500000_v1574297551.nc
LS_WATER_3577_0_-14_20191006011659000000_v1573709072.nc
LS_WATER_3577_0_-14_20190929011110500000_v1573709072.nc
LS_WATER_3577_0_-14_20190413011629000000_v1556505761.nc
LS_WATER_3577_0_-14_20190328011634000000_v1554776503.nc
LS_WATER_3577_0_-14_20191123011719500000_v1576560117.nc
LS_WATER_3577_0_-14_20190321011024500000_v1554178942.nc
LS_WATER_3577_0_-14_20190217011034000000_v1551906542.nc
LS_WATER_3577_0_-14_20190912010237500000_v1569453213.nc
LS_WATER_3577_0_-14_20190116011040000000_v1548976311.nc
LS_WATER_3577_0_-14_20190216011024500000_v1551906542.nc
LS_WATER_3577_0_-14_20190710010541000000_v1563948182.nc
LS_WATER_3577_0_-14_20190320010947500000_v1554178942.nc
LS_WATER_3577_0_-14_20190702011655000000_v1563948182.nc
LS_WATER_3577_0_-14_20190329010318500000_v1554776503.nc
LS_WATER_3577_0_-14_20191217005817000000_v1584672374.nc
LS_WATER_3577_0_-14_20191107011723000000_v1574118304.nc
LS_WATER_3577_0_-14_20190406011021000000_v1556505761.nc
LS_WATER_3577_0_-14_20190531011620000000_v1560395186.nc
LS_WATER_3577_0_-14_20190413011605000000_v1556505761.nc
... 100 more
WOFS_3577_0_-14_2019_summary.nc
ga_ls_landcover_class_cyear_2_1-0-0_au_2019-01-01

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Ann_25_2_1/netcdf/0_-14/WOFS_3577_0_-14_2019_summary.nc

Metadata Document 🔗

RAW As Stac
id: 3256c6e2-37f1-47e9-b634-2cb158f1b277
product_type: wofs_annual_summary
creation_dt: 2020-06-03T05:12:24.419761
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -13.248074220289007
lon: 132.0
lr:
lat: -13.244810068273283
lon: 132.90913864105968
ul:
lat: -12.329088845753166
lon: 132.0
ur:
lat: -12.325836252918414
lon: 132.90271482804553
to_dt: 2019-01-01T00:00:00
from_dt: 2019-01-01T00:00:00
center_dt: 2019-01-01T00:00:00
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
0.0
-1302832.8478565237
]
[
0.0
-1300000.0
]
[
100000.0
-1300000.0
]
[
100000.0
-1400000.0
]
[
0.0
-1400000.0
]
[
0.0
-1302832.8478565237
]
]
]
geo_ref_points:
ll:
x: 0.0
y: -1400000.0
lr:
x: 100000.0
y: -1400000.0
ul:
x: 0.0
y: -1300000.0
ur:
x: 100000.0
y: -1300000.0
spatial_reference: EPSG:3577
image:
bands:
count_wet:
path:
layer: count_wet
frequency:
path:
layer: frequency
count_clear:
path:
layer: count_clear
lineage:
algorithm:
name: datacube-stats
version: 1.0.2
repo_url: https://github.com/GeoscienceAustralia/datacube-stats.git
parameters:
configuration_file:
sources: [
product: wofs_albers
group_by: solar_day
fuse_func: digitalearthau.utils.wofs_fuser
mask_nodata: False
measurements: [
water
]
]
storage:
crs: EPSG:3577
driver: NetCDF CF
chunking:
x: 200
y: 200
time: 1
tile_size:
x: 100000.0
y: 100000.0
resolution:
x: 25
y: -25
dimension_order: [
time
y
x
]
location: /g/data/u46/users/bt2744/work/data/prod/wofs/annual
computation:
chunking:
x: 2000
y: 2000
date_ranges:
end_date: 2020-01-01
step_size: 1y
start_date: 2019-01-01
stats_duration: 1y
input_region:
tiles: [
[
0
-14
]
]
filter_product:
var_attributes:
output_products: [
name: wofs_annual_summary
metadata:
format:
name: NetCDF
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
statistic: wofs_summary
product_type: wofs_annual_summary
output_params:
zlib: True
fletcher32: True
file_path_template: WOFS_3577_{x}_{y}_{epoch_start:%Y}_summary.nc
]
global_attributes:
title: Water Observations from Space Annual Statistics 2.1.5
cmi_id: WO-STATS_25_2.1.5
source: Water Observations from Space Detection Algorithm v1.5
license: CC BY Attribution 4.0 International License
summary: WOfS-STATS (WO_STATS_2.1.5) is a set of statistical summaries of the water observations contained in WOfS (WO_2.1.5). The layers available are: the count of clear observations; the count of wet observations; the percentage of wet observations over time.
keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,ETM+,TM,OLI,EARTH SCIENCE,SURFACE WATER,FLOOD
references: N. Mueller, A. Lewis, D. Roberts, S. Ring, R. Melrose, J. Sixsmith, L. Lymburner, A. McIntyre, P. Tan, S. Curnow, A. Ip, Water observations from space: Mapping surface water from 25 years of Landsat imagery across Australia, Remote Sensing of Environment, Volume 174, 1 March 2016, Pages 341-352, ISSN 0034-4257, http://dx.doi.org/10.1016/j.rse.2015.11.003. (http://www.sciencedirect.com/science/article/pii/S0034425715301929)
institution: Commonwealth of Australia (Geoscience Australia)
cdm_data_type: Grid
product_suite: Water Observations from Space Statistics 25m
publisher_url: http://www.ga.gov.au
publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia
product_version: 2.1.5
publisher_email: earth.observation@ga.gov.au
keywords_vocabulary: GCMD
machine:
uname: Linux gadi-cpu-clx-1465.gadi.nci.org.au 4.18.0-147.5.1.el8.nci.x86_64 #1 SMP Tue Mar 17 06:23:28 UTC 2020 x86_64
hostname: gadi-cpu-clx-1465.gadi.nci.org.au
software_versions:
python:
version: 3.6.10 | packaged by conda-forge | (default, Apr 24 2020, 16:44:11) [GCC 7.3.0]
datacube:
version: 1.8.1.dev22+gc2c25d3d
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets:
statistics:
step: 1y
period: 1y